Triple
T15361341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaiming He |
E367295
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Meta Platforms |
E28619
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Meta Platforms | Statement: [Kaiming He, employer, Meta Platforms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meta Platforms Context triple: [Kaiming He, employer, Meta Platforms]
-
A.
Meta Platforms, Inc.
chosen
Meta Platforms, Inc. is a major American technology company best known as the parent of Facebook, Instagram, WhatsApp, and other social media and virtual reality products.
-
B.
Snap Inc.
Snap Inc. is an American technology and social media company best known for developing the multimedia messaging app Snapchat and related camera and augmented reality products.
-
C.
Facebook
Facebook is a major global social networking platform that allows users to connect, share content, and communicate online.
-
D.
Meta Platforms data center
The Meta Platforms data center is a large-scale computing facility operated by Meta (formerly Facebook) to support its social media, messaging, and virtual reality services.
-
E.
Square, Inc.
Square, Inc. is a financial technology company best known for its mobile payment solutions and point-of-sale systems that enable businesses to accept electronic payments easily.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4607408190ab281a7f7a8012d3 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b4a181c8190bffc1ac1a86e215d |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.